🏗️ 𝐓𝐡𝐞 𝐑𝐨𝐥𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐢𝐧 𝐀𝐈 𝐄𝐧𝐚𝐛𝐥𝐞𝐦𝐞𝐧𝐭: Pivoting on right-sized foundations, delivered through focused vertical slices, and driven by impact, not just technology. 📃 In his latest article by Modern Data 101, our community author Colin Hardie cuts through the noise to reveal the pragmatic path to AI success. He explores how Data Architects, operating at the foundational layers of the AI Hierarchy of Needs, ensure that AI initiatives are built on solid ground, delivering impact, not just technology. 𝐖𝐡𝐚𝐭 𝐲𝐨𝐮’𝐥𝐥 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐢𝐧𝐬𝐢𝐝𝐞: • Why the "Data Architect" title is so misunderstood – and what it truly entails in the AI era. • How the DIKW Pyramid and AI Hierarchy of Needs framework guide effective AI enablement. • The "Opera Cake Approach": Delivering value through focused vertical slices, not endless foundational builds. • 10 practical ways Data Architects enable successful AI implementations, from readiness evaluation to outcome measurement. ➡️ 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐡𝐞𝐫𝐞: https://moderndata101.substack.com/p/the-role-of-the-data-architect